Regional accounts give a description of the volume of the economic process in the various regions of a country consistent with national accounts. Elements in the economic process distinguished in national accounts are production, distribution of income, spending and financing. Regional accounts focus on the description of the production processes in the various regions.

Data available from: 1995

Status of the figures: The figures of the years 1995 to 2020 are final. Data of the year 2021 are also final, but the figures of the variables Full-time equivalent (fte), Employed persons and Hours worked are an exception, due to the late availability of annual data on self-employed persons. These final figures are published a year after. The figures of the year 2022 are provisional. Since this table has been discontinued, data of 2022 will not become final.

Changes as of December 9th 2024: None. This table has been discontinued. Statistics Netherlands has carried out a revision of the national accounts. The Dutch national accounts are recently revised. New statistical sources, methods and concepts are implemented in the national accounts, in order to align the picture of the Dutch economy with all underlying source data and international guidelines for the compilation of the national accounts. For further information see section 3.

When will new figures be published? Not applicable anymore.

Abstract copyright UK Data Service and data collection copyright owner.

During 1998, in line with other European Union (EU) member states, the UK adopted the new European System of Accounts (ESA 95), to be used by the Office for National Statistics (ONS) for the production of financial data. In September 1998 the UK National Accounts were published for the first time using ESA95. Under this system, ONS is required to compile more detailed regional economic information than was previously the case and now produces regional Gross Value Added (GVA - formerly Gross Domestic Product or GDP, to which some series still refer), regional Household Accounts and regional Gross Fixed Capital Formation. Most Regional Accounts data are now consistent with ESA95 - users should refer to the information in the 'Main Topics' section below, and the documentation.
Regional Accounts data are compiled mainly from the UK National Accounts (Blue Book), the New Earnings Survey (NES) and the Annual Business Inquiry (ABI 2).

For the 8th edition (December 2002), data files covering Gross Value Added (GVA - formerly GDP) by GOR, Industry, Manufacturing Class and other tables were added to the dataset. On 10th December 2002, however, ONS withdrew the 8th edition GVA data files, due to errors discovered in the data.


Main Topics:

PART I: Regional Gross Value Added (GVA - formerly GDP) up to 1998/1999 - European System of Accounts 1995 (ESA95) basis.
Files:
1. GVA by Government Office Region (GOR) 1989-1999: file gvagor8999 (withdrawn - see 'Abstract' section for details).
2. GVA by industry 1989-1999: file gvaind8999 (withdrawn).
3. GVA by manufacturing class 1989-1999: file gvamanclass8999 (withdrawn).
4. GVA 1989-1999 (various tables): file gva8999 (withdrawn).
5. Compensation of Employees (COE) by industry 1989-1998: file indcomp8998.
6. Compensation of Employees (COE) by manufacturing class 1989-1998: file compcls8998.
Due to the withdrawal of GVA data, the following GDP data are also available, but users should bear in mind the age of these data when conducting analysis:
1. GDP by GOR 1989-1999: file gpdgor8999.
2. GDP by Industry 1989-1998: file gdpind8998.
3. GDP by Manufacturing Class 1989-1998: file gpdmancls8998.

PART II: ESA95 Regional household (total and disposable) income up to 1999, consumption expenditure up to 1999.
Files:
1. Regional household income (total and disposable) basic breakdown of income type 1989-1999 by GOR: file hhacc8999.
2. Individual Consumption Expenditure by GOR 1994-1999: file ice32gor9499.

There is no longer a PART III.

PART IV: Regional GDP, by factor of income and by industry, up to 1996; county GDP and GDFCF up to 1995.
Files
1. GDP by factor income by SSR 1971-1996 and by GOR 1984-1996: files gdpssr7196 and gdpgor8496.
2. GDP by county for selected years between 1977-1996: file gdpcty7796.
3. GDP by industry by SSR 1982-1996: file gdpind8296. Users should note that ONS have advised the UK Data Archive that the data in this file are no longer published by ONS, and are useful for historic purposes only.
4. GDP by manufacturing class by SSR 1982-1995: file gdpmancls8295 - again these data are no longer published by ONS, and are of historic use only.
5. Income from Employment (IFE) by industry by SSR 1982-1996: file ifeind.
6. Income from employment by manufacturing class by SSR 1982-1995: file ifecls.

PART V: ESA79 Regional household and personal (total and disposable) income and consumers' expenditure up to 1996.
Files:
1. Household income (total and disposable by GOR 1984-1996 and by SSR 1984-1996: files hhsougor and hhsoussr.
2. Household income (total and disposable) by county 1984-1995: file hhinc.
3. Personal income (total and disposable) by GOR 1984-1996 and by SSR 1971-1996: files perincg and perincs.xls
4. Consumers' Expenditure by SSR 1971-1996 and by GOR 1994-1996: files cons32 and consgor.

PART VI: Local area gross domestic product.
1. Figures for 1993-1998 on new NUTS regional basis: file gdpn23.
2. Estimates for old administrative counties of England (first made available June 2001): file admcty.

File regsublochhd contains regional, sub-regional and Local Area Household Accounts, and includes the following tables:
Table 1: Total Household Income1 by Region (NUTS1) 1995-1999.
Table 2: Gross Disposable Household Income by Region (NUTS1) 1995-1999.
Table 3: Total Household Income by NUTS 1 & 2 Areas.
Table 4: Gross Disposable Household Income by NUTS 1 & 2 Areas.
Table 5: Gross Disposable Household Income - Components, NUTS 1 & 2: 1995.
Table 6: Gross Disposable Household Income1 - Components, NUTS3.
Table 7: Total Household Income1 - Components, NUTS3.

This table contains information of the Regional accounts. Regional accounts give a description of the economic process in the regions of a country in conformity with the national accounts. Elements in the economic process distinguished in national accounts are production, distribution of income, spending and financing. Regional accounts focus on the description of the production processes in the various regions. The new Standard Industrial Classification 2008 (SIC 2008) is used in the National and Regional Accounts of the Netherlands. This code is based on the European classification Nomenclature générale des Activités économiques dans la Communauté Européenne (NACE Rev. 2) which is used in all Member States of the European Union. Data available from: 1996 Status of the figures: The years 1996 to 2022 are final, from the year 2023 onwards is provisional. Changes as of 24 April 2025: The flash estimate for the reporting year 2024 has been added. Changes as of December 9th 2024: This is a new table. Statistics Netherlands has carried out a revision of the national accounts. The Dutch national accounts are recently revised. New statistical sources, methods and concepts are implemented in the national accounts, in order to align the picture of the Dutch economy with all underlying source data and international guidelines for the compilation of the national accounts. This table contains revised data. For further information see section 3. When will new figures be published? The final figures for 2023 will be added in December 2025.

Shows economic activity as measured by Gross Value Added (GVA) for English regions, Scotland, Wales and Northern Ireland including component totals and industry group totals. Source agency: Office for National Statistics Designation: National Statistics Language: English Alternative title: Regional Economic Activity (GVA)

Information about this release can be found here (https://www.bea.gov/data/gdp/gdp-state).

For information about BEA industries and other regional definitions, visit their Regional Economic Accounts: Regional Definitions website (https://apps.bea.gov/regional/definitions/).

This table the Regional accounts; transactions of the sector households, describes the primary and secondary income distribution of the section households. The transactions within the primary and secondary income distribution are breakdown by resources and uses (earnings and expenses). Data available from: 1995 to 2011. Status of the figures: The data from 1995 onwards are final. The figures for the last year are revised provisional. Because this table is discontinued, figures will not be updated anymore. Changes as of February 13th 2015: None, this table is discontinued. When will new figures be published? Not applicable anymore. This table is replaced by table Regional accounts; Transactions of the sector households, region. See paragraph 3.

VITAL SIGNS INDICATOR Economic Output (EC14)

FULL MEASURE NAME Per-capita gross regional product

LAST UPDATED July 2019

DESCRIPTION Economic output is measured by the total and per-capita gross regional product and refers to the value of goods and services generated by workers and companies in a region.

DATA SOURCE Bureau of Economic Analysis: Regional Economic Accounts 2001-2017 http://www.bea.gov/regional/

California Department of Finance: Population and Housing Estimates 2001-2009 http://www.dof.ca.gov/Forecasting/Demographics/Estimates/ Note: Table E-8

California Department of Finance: Population and Housing Estimates 2010-2017 http://www.dof.ca.gov/Forecasting/Demographics/Estimates/ Note: Table E-5

CONTACT INFORMATION vitalsigns.info@bayareametro.gov

METHODOLOGY NOTES (across all datasets for this indicator) As gross regional product data is only available on the MSA level, Bay Area data includes 10 counties (the nine core counties + San Benito County); this results in a slightly higher regional GRP as a result of additional population and business activity. Per-capita data reflects the additional population included as a result of San Benito County’s participation in the San Jose MSA. Data is inflation-adjusted by using both nominal and real data developed by BEA and appropriately escalating real GRP data in 2009 dollars to today’s dollars (2017). This inflation adjustment approach is specific to each MSA and is different from the CPI inflation approach used for other datasets on the Vital Signs website.

Bureau of Economic Analysis. Local Areas Personal Income and Employment: Farm Income and Expenses (CA45) | Line Code: CA45.130 | Finance Line Item: Government payments, 1969 - 2011. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 003-017-012 Dataset: Presents annual estimates of farm income and expenses for states and counties in the United States. Farm Income comprises the net income of sole proprietors, partners,and hired laborers arising directly from the current production of agricultural commodities, either livestock or crops. It includes net farm proprietors' income and the wages and salaries, pay-in-kind, and supplements to wages and salaries of hired farm laborers, but specifically excludes the income of farm corporations. Farm production expenses are expenditures incurred by farm operators in the production of agricultural commodities, including livestock and crops. The major categories of production expenses are intermediate product expenses, which provide inputs to the production process (feed, livestock and poultry, seed, fertilizer, etc.), labor expenses, and other expenses (interest, net rent paid to non-operator landlords, capital consumption, property taxes, etc.). Presents annual estimates of personal income and employment for states and counties in the Untied States. These estimates are developed as part of the Bureau of Economic Analysis Regional Economic Accounts program. Estimates of compensation and earning by industry and place of work indicate the economic activity of establishments within the local area. Estimates of personal income by place of residence provide a measure of fiscal capacity and an indicator of the economic well-being of the residents of an area. The county estimates of personal income are designed to be conceptually and statistically consistent with the national estimates of personal income in the National Income and Product Accounts (NIPA). Differences between the NIPA estimates and the regional accounts estimates are due to differences in coverage and timing of the availability of source data; eg, the NIPA measure of personal income is broader than county personal income. The state and county personal income and employment estimates are based primarily on administrative records data, and also use some survey and census data. Note that, effective with the November 21, 2013 release of BEA's LAPI statistics, the following statistical detail will not be updated or made available: 1) local area employment by industry; 2) statistics for "BEA Economic Areas"; 3) detailed statistics on personal current transfer receipts; and 4) detailed statistics on farm income and expenses. In addition, industry detail on compensation and earnings has been reduced from 108 industries to 25 industries. The impact of sequestration and reduced FY 2013 funding levels for the Bureau of Economic Analysis (BEA) have required reductions in the Bureau's local area personal income (LAPI) program. http://www.bea.gov/iTable/index_regional.cfm Category: Population and Income, Agriculture and Food Subject: Expenses, Agriculture, Personal Income, Farm Income Source: Bureau of Economic Analysis The Bureau of Economic Analysis (BEA) is part of the Department of Commerce Economics and Statistics Administration. BEA produces economic accounts statistics that enable government and business decisionmakers, researchers, and the public to follow and understand the performance of the United States economy. BEA economic statistics are key ingredients in critical decisions affecting monetary policy, tax and budget projections, and business investment plans. The cornerstone of BEA's statistics is the national income and product accounts (NIPAs), which feature the estimates of gross domestic product (GDP) and related measures. BEA prepares national, regional, industry, and international accounts that present essential information on such key issues as economic growth, regional economic development, interindustry relationships, and the nation's position in the world economy. http://www.bea.gov/

Regional accounts are consistent with National Accounts, except for differences due to rounding, and also with Eurostat's European System of National and Regional Accounts 1995 (ESA 1995). The new Standard industrial classification 2008 (SIC 2008) is used in the National and Regional Accounts of the Netherlands. This code is based on the European classification Nomenclature générale des Activités économiques dans la Communauté Européenne (NACE Rev. 2) which is used in all Member States of the European Union. It is in use for the year 2008 onwards. Predecessor of the SIC 2008 was the SIC '93 Which was used by Statistics Netherlands from 1993 onwards. The amounts in this publication are in current prices only. Data available from: 1995 to 2011 Status of the figures: The data from 2010 onwards are final. The figures for the last year are provisional. Because this table is discontinued, figures will not be updated anymore. Changes as of February 13th 2015: None, this table has been discontinued as of February 13th, 2015 and will be continued as Regional accounts; production process, economic activity (sic 2008), region. See paragraph 3. When will new figures be published? Not, this table has been discontinued.

This table contains data described by the following dimensions (Not all combinations are available): Geography (13 items: Canada; Atlantic Region; Newfoundland and Labrador; Prince Edward Island; ...);  Characteristics (1 item: All households);  Net worth indicators (wealth) (17 items: Financial assets as a share of total assets; Life insurance and pensions as a share of total assets; Other financial assets as a share of total assets; Non-financial assets as a share of total assets; ...).

The Regional Economic Development Councils (REDCs) support the State’s innovative approach that empowers regional stakeholders to establish pathways to prosperity, mapped out in regional strategic plans. Through the REDCs, community, business, academic leaders, and members of the public in each region of the state put to work their unique knowledge and understanding of local priorities and assets to help direct state investment in support of job creation and economic growth. The REDC dataset contains population and acreage information for each region. The New York State Energy Research and Development Authority (NYSERDA) offers objective information and analysis, innovative programs, technical expertise, and support to help New Yorkers increase energy efficiency, save money, use renewable energy, accelerate economic growth, and reduce reliance on fossil fuels. To learn more about NYSERDA’s programs, visit nyserda.ny.gov or follow us on X, Facebook, YouTube, or Instagram.

A coherent quantitative description of agricultural activity in Asturias is provided. Its main indicator is agricultural income, i.e. the value generated by agricultural activity, measures the remuneration of the factors of production (land, capital and labour).

Wealth and its subcomponent distributions, dollar values and dollar value per household, by household characteristics such as income quintile, age, housing tenure and composition, Canada, regions and provinces, annual 2010 to 2019 and quarterly starting 2020.

Analysis of ‘Gross domestic product (GDP) per inhabitant by region’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from http://data.europa.eu/88u/dataset/846d9f94-854e-5016-a0f1-f7d0d33cfa2f on 18 January 2022.

--- Dataset description provided by original source is as follows ---

Definition: Economic performance varies widely within North Rhine-Westphalia. Gross domestic product (GDP) per inhabitant is an indicator of regional economic power, which makes it possible to illustrate regional differences. GDP per inhabitant is shown in current prices, i.e. in the current year’s prices.

Note: A general audit was carried out in 2014. This mainly served to introduce the new European System of Accounts (ESA 2010) across Europe. ESA 2010 is based on the global new System of National Accounts (SNA 2008) and replaced the previous ESA 1995.

Data source:
Working Group on National Accounts of the Länder

--- Original source retains full ownership of the source dataset ---

Fixed capital formation by type of capital good, groups of provinces, province and COROP region. This table concerns regional figures on gross fixed capital formation (on an owner basis) by type of capital good. The regional figures are in accordance with the national accounts, figures on gross fixed capital formation from production and imports (so, excluding sales of existing assets). Data available from: 2008 to 2011 Status of the figures: The data from 2008 onwards are final. The figures for the last year are provisional. Because this table is discontinued, figures will not be updated anymore. Changes as of February 11th 2015: None, this table is discontinued. When will new figures be published? Not applicable anymore. This table is replaced by table Regional accounts; Fixed capital formation by type of capital good, region. See paragraph 3.

Fixed capital formation by groups of provinces, province and COROP region. This table concerns regional figures on fixed capital formation (gross) by type of capital good. The regional figures are in accordance with the national accounts, figures on gross fixed capital formation from production and imports (so, excluding sales of existing assets).

The new Standard Industrial Classification 2008 (SIC 2008) is used in the National and Regional Accounts of the Netherlands. This code is based on the European classification Nomenclature générale des Activités économiques dans la Communauté Européenne (NACE Rev. 2) which is used in all Member States of the European Union. It is in use for the year 2008 onwards.

Data available from: 1995 up to and including 2015.

Status of the figures: The figures from 1995 up to the year 2015 are final. This table has been discontinued.

Changes as of 21th December 2018: None. This table has been discontinued. Statistics Netherlands has carried out a revision of the national accounts. New statistical sources and estimation methods have been used during the revision. Therefore this table has been replaced by table Fixed capital formation by type of capital good, region; national accounts. For further information see section 3.

When will new figures be published? Not applicable anymore.

The OECD Regional Database provides a unique set of comparable statistics and indicators on about 2000 regions in 30 countries. It encompasses yearly time-series for around 40 indicators of demography, economic accounts, labour market, social and innovation themes in the OECD member countries.

Budget Financing: Tumen Region: Year to Date: ow Budget Account Balances Increase data was reported at -409,737,975,839.490 RUB in May 2022. This records a decrease from the previous number of -207,000,309,868.480 RUB for Mar 2022. Budget Financing: Tumen Region: Year to Date: ow Budget Account Balances Increase data is updated monthly, averaging -287,011,425,870.315 RUB from Sep 2016 (Median) to May 2022, with 68 observations. The data reached an all-time high of -10,076,955,894.050 RUB in Jan 2017 and a record low of -794,112,429,286.310 RUB in Dec 2019. Budget Financing: Tumen Region: Year to Date: ow Budget Account Balances Increase data remains active status in CEIC and is reported by Federal Treasury. The data is categorized under Russia Premium Database’s Government and Public Finance – Table RU.FD059: Regional Consolidated Budget: ytd: Ural Federal District: Tumen Region.

Annual railway industry operating and income accounts (detailed operating revenues and expenses) of regional companies.

Abstract The article measures the determinants of the Brazil's per capita income growth in the 2004-15 period, based on the role of productivity and variables related to the labor market and the demography. The investigation is carried out jointly in a regional (by Major Regions) and sectoral approach (contribution of each activity of the productive structure to the growth of each geographical unit). The role of productive efficiency and structural changes in the composition of employment and relative prices in this growth is highlighted. The article brings some contributions to the literature, mainly due to the empirical approach not yet explored within the regional and sectoral context. The results indicate important differences in the contributions of each component of the decomposition depending on the geographical unit analyzed, as well as relevant sectoral heterogeneities within and between such units.